Analysis And Technology Of Objective Management For Low Carbon Emissions In Garment Sewing Process

With the development of the international industry 4.0,the strategic plan named China Manufacturing 2025 was proposed.As an important part of the national economy,the garment manufacturing industry still have some disadvantages should be improved,such as intensive labor,high-intensity operations,low production efficiency,high energy consumption,and high carbon emissions.Garment manufacturing industry is facing many challenges since the labor costs and raw material costs are rising sharply,and the concept of low-carbon economy are deeply rooting in the minds of people.The garment manufacturing industry urgently needs to improve the digital and intelligent level of production management,for the purpose of the efficient and environmentally friendly production,and meet the ever-changing demands of the market.Therefore,low carbon emissions objective management of garment sewing assembly line is systematically studied in this research by establishing optimization model,quantitative analysis and application calculation,which can provide a reference for digital,intelligent and low-carbon garment production.In this research,the organizational form and management objectives of garment sewing production were analyzed,while the basis of garment sewing assembly line was combed from organization form and layout of the assembly line.The factors related to the production yield,number of operators,production efficiency and carbon emission were analyzed.The management objectives hierarchy,the methods of single-objective and multi-objective management were analyzed.In this research,the application of multi-objective management technology in garment sewing production was studied.The sewing assembly line balance models with the objectives of minimizing the time loss rate,minimizing the smoothing index and maximizing the utilization rate of workstation were established.The genetic algorithm was designed based on the characteristics of garment sewing production,and used to obtain the solution.The men’s shirt assembly lines based on three types of workstation layouts(the order of processes,the type of machines and the components of garment)were applied to verity the effectiveness of the model and algorithm.The results indicated that both of the three types of workstation layouts had excellent performanceIn this research,the application of multi-objective management technology in garment sewing production was studied.A multi-objective balance model of the sewing assembly line was established for minimizing the time loss rate,minimizing the smoothness index and maximizing the utilization rate of workstation,while a fast and elitist multi-objective genetic algorithm was applied to obtain the solution.The men’s shirt,trousers and suit assembly lines based on three types of workstation layouts(the order of processes,the type of machines and the components of the garment),were applied to verify the effectiveness of the model and algorithm.The results indicated that the assembly efficiency of the sewing assembly line was higher than 90%when the workstations are arranged by the order of processes and the type of machines.According to the workstation layout of the components of garment,the balanced effect of the sewing assembly line was slightly lower than that of the other types of workstation layouts,but it was much higher than minimum assembly efficiency required by enterprise.In this research,the simulation of objective management in garment sewing production was studied.The simulation model was analyzed and the simulation model construction steps were determined.The objectives,assumptions and restrictions were analyzed according to the operation rules of the garment sewing assembly line,while the men’s shirt assembly line was simulated by Anylogic simulation software.The simulation results illustrated that the problems in the simulation assembly line were consistent with the actual production process.The assembly line optimization schemes were proposed,and simulation models were established and run on the optimized sewing assembly line.The simulation results shown that the optimized sewing assembly line had higher daily output and equipment utilization than the normal sewing assembly line.The sewing assembly line according to workstation layout of the components of garment had the highest daily output.The sewing assembly line according to workstation layout of the type of machines had the highest equipment utilization rate.In this research,the objective management of low carbon emissions for garment sewing production was systematically studied.According to the evaluation criteria and calculation methods of carbon emissions,the influencing factors such as fabrics,accessories,sewing machines,operators,transportation,lighting equipment on carbon emissions in garment sewing production were analyzed,while the carbon emission evaluation models were established.A multi-objective optimization model for sewing assembly line layout with the objectives of minimizing carbon emissions and minimizing assembly line area in the semi-finished product transfer process was established.According to production mode of mass batch,medium batch and small batch,multi-objective optimization models were established for the sewing assembly line under the three types of workstation layouts(the order of processes,the type of machines and the components of the garment).Different multi-objective optimization models for multi-line,U-shape three-line(odd number),U-shape two-line,and U-shape three-line were established.A multi-objective optimization model for low-carbon distribution of materials with the minimum carbon emissions and the minimum number of distribution vehicles(operators)was established.The multi-objective balanced sewing assembly lines of men’s shirt,trousers and suit were applied to verify the effectiveness of the model.In this research,objective management analysis,single-objective management,multi-objective management,objective management simulation,and low-carbon objective management of garment sewing production were systematically studied.A multi-objective balance optimization model for sewing assembly line was established.Carbon emission evaluation models for the sewing production process were established,while a multi-objective optimization model was established for reducing carbon emissions in the layout and material distribution of the sewing assembly line.These models not only can guarantee the operation of the production system of garment enterprises smoothly and efficiently,but also help enterprises reduce the production cost of,realize low-carbon production,and improve the market competitiveness of garment enterprises.The theoretical reference is provided to realize the industrial upgrading,intelligent and green transformation of garment manufacturing industry.